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VKI is a non-profit international educational and scientific organisation, hosting three departments (aeronautics and aerospace, environmental and applied fluid dynamics, and turbomachinery & propulsion). It provides postgraduate educa-tion in fluid dynamics (Research Master master-after-master level, Doctoral Programme, Short Training Programme and Lecture Series) and encourages “training in research through research”.

The von Karman Institute undertakes and promotes research in the field of fluid dynamics. It possesses around fifty different wind tunnels, turbomachinery and other specialized test facili-ties, some of which are unique or the largest in the world. Exten-sive research on experimental, computational and theoretical aspects of gas and liquid flows is carried out at the VKI under the direction of the faculty and research engineers, sponsored main-ly by governmental and international agencies as well as industry.

The von Karman Institute organizes each year 8 to 12 one-week Lecture Series on specialized topics in the field of aerodynamics, fluid mechanics and heat transfer with application to aeronautics, space, turbomachinery, the environment and industrial fluid dynamics. These courses have gained over the years worldwide recognition for their high quality, which is the result of a careful choice of subjects of current interest and lecturers known for their excellency in that field and willing to cooperate in building up well-structured courses.

r INTRODUCTION TO MEASUREMENT TECHNIQUES OCTObER 7-11, 2019

r UNCERTAINTY QUANTIFICATION IN COMPUTATIONAL FLUID DYNAMICS STO-AVT-326 (IN STANFORD) OCTObER 9-11, 2019

r INTRODUCTION TO GROUND TESTING FACILITIESNOVEMbER 5-7, 2019

r IntroductIon to computatIonal fluId dynamIcsJANUARY 20-24, 2020

r radIal compressor desIgn and optImIzatIonFEbRUARY 10-14, 2020

èmacHIne learnIng for fluId mecHanIcs: analysIs, modelIng, control and closuresFEbRUARY 24-28, 2020

r fluId-structure InteractIon for IndustrIal applIcatIonsMARCH 23-26, 2020

r COASTAL FLOWAPRIL 6-8, 2020

r OPTIMIZATION METHODS FOR CFDAPRIL 20-24, 2020

r COMPUTATIONAL METHODS FOR HYPERSONIC FLOWS (STO-AVT TO bE CONFIRMED)MAY 11-15, 2020

r LARGE EDDY SIMULATIONS AND RELATED TECHNIQUESMAY 25-28, 2020

r STORE SEPARATION ADN TRAJECTORY PREDICTION (STO-SCI-277)MAY 11-15, 2020

V o n K a r m a n I n s t i t u t e f o r F l u i d D y n a m i c s

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V O N K A R M A N I N S T I T U T E F O R F L U I D D Y N A M I C S

the big data and machine learning revolution is gaining traction in the fluid mechanic community and is transforming the way we analyze data and extract knowledge from it. this lecture series introduces powerful machine learning methods that are paving the way towards advanced methods for model-order reduction, system identification, estimation, turbulence closures, and flow control.

the course will gather material from various fields, from the data decompositions that were pioneered in fluid mechanics and moves to-wards methods that were initially developed in machine vision, pattern recognition, and artificial intelligence fields. the covered spectrum of topics will range from introductory material to state-of-the-art research.

the lecture series codirectors are miguel a. mendez from the von Karman Institute (Belgium), andrea Ianiro from universidad carlos III de madrid (spain), Bernd r. noack from lImsI, cnrs, université de par-is-saclay (france) and steven l. Brunton from university of Washing-ton (usa).

The lecture series will host a poster session, which will allow the participants to further exchange and interact with the lecturers. All the participants are encouraged to submit a 1-page abstract before November 1st, 2019.

ScheduleMonday 24 February 2020: Coherent Structures08:30 registration09:00 Welcome address 09:30 analysis, modeling and control of the cylinder Wake prof. B.r. noack, lImsI, cnrs, université de paris-saclay, france 10:45 coffee Break11:15 coherent structures in turbulent flows prof. J. Jiménez, universidad politecnica de madrid, spain 12:30 lunch14:00 the proper orthogonal decomposition prof. s.t.m. dawson, Illinois Institute of technology, usa 15:15 coffee Break15:45 the dynamic mode decomposition: from Koopman theory to applications prof. p. J. schmid, Imperial college london, uK 17:00 reception

Tuesday 25 February 2020: Mathematical Analysis09:00 mathematical tools, part I: continuous and discrete ltI systems prof. m.a. mendez, von Karman Institute for fluid dynamics, Belgium10:15 coffee Break10:45 mathematical tools, part II: time-frequency analysis prof. s. discetti, universidad carlos III de madrid, spain12:00 Poster Session – posters will be on display during the week

please note that the number of participants is limit-ed and admission will be granted on a first come, first served basis. a letter of acceptance and additional in-formation will be sent on receipt of the application form.

50% of reduction as from the 3rd participant from the same company.

Early Bird Registration (until November 1st, 2019 included)

Vat included type 1* type 2* type 3*normal 945 € 1235 € 1345 €

phd 475 € 475 € 675 €undergraduate 210 € 210 € 280 €

Late Registration FeeVat included type 1* type 2* type 3*normal 1350 € 1760 € 1920 €

phd 675 € 675 € 960 €undergraduate 300 € 300 € 400 €

*Type 1: Permanent residents of NATO countries funding VKI: Belgium, Bulgaria, Czech Republic, France, Germany, Greece, Hungary, Iceland, Italy, Luxemburg, Norway, Portugal, Romania, Turkey and the United States

*Type2: Permanent residents of NATO countries not funding VKI or NATO partner countries

*Type 3: Permanent residents of non -NATO countries

For PhD candidate, the request to be considered for an award must accompany the application to attend the Lecture Series, and the applicant must provide a recommendation letter from his or her professor; if not done so, the request will not be tak-en into consideration. All possible alternative sources of fund-ing should be investigated before aid is requested under this scheme, so that those most in need will benefit.

Online Registrationhttps://www.vki.ac.be

12:45 lunch14:00 generalized and multiscale data-driven modal analysis prof. m.a. mendez15:15 coffee Break15:45 applications and good practice prof. a. Ianiro, universidad carlos III de madrid, spain17:00 end of day

Wednesday 26 February 2020: Dynamical Systems

09:00 modern tools for the stability analysis of fluid flows prof. p. J. schmid10:30 coffee Break11:00 linear dynamical systems and control prof. s.t.m. dawson12:15 lunch14:00 nonlinear dynamical systems prof. s.l. Brunton, university of Washington, usa15:15 coffee Break15:45 methods for system Identification prof. s.l. Brunton17:00 end of day

Thursday 27 February 2020: Reduced Order Modelling

09:00 Introduction to machine learning methods prof. s.l. Brunton10:30 coffee Break11:00 machine learning in fluids: pairing methods with problems prof. s.l. Brunton12:30 lunch14:00 machine learning for reduced-order modeling prof. B.r. noack, lImsI-cnrs, france15:15 coffee Break15:45 Visit of the VKI laboratories17:00 Posters and General Discussion18:00 end of day

Friday 28 February 2020: Control, Closures and Perspectives09:00 reduced-order modeling for aerodynamic applications and mdo dr. s. görtz, german aerospace center (dlr), germany 10:15 coffee Break10:45 machine learning for turbulence control prof. B.r. noack12:00 lunch13:45 the computer as turbulence researcher prof. J. Jiménez15:00 coffee Break15:30 Round Table17:00 end of day